Worst-Case Sensing Deception in Cognitive Radio Networks

This paper addresses the design of the power-limited intelligent adversary for sensing deception in a cognitive radio network. The average number of successfully spoofed bands by the adversary is analyzed, which can be expressed in terms of the individual spoofing probability on each band. The worst-case sensing deception strategy is obtained by maximizing the average number of successfully spoofed bands, under the adversary´s power constraint. Specifically, for a cognitive radio network where energy detection is utilized by secondary users, it is shown that the worst-case deception strategy is equal-power, partial-band spoofing.